Name
Title | ||
|---|---|---|
New methods for analysing colour texture based on the Karhunen–Loeve transform and quantification |
Abstract | ||
|---|---|---|
In this article, we offer an original study on the analysis of the texture of colour images based on Local Linear Transforms (LLT). Our colour approach is based on the separability of the data which reduces the number of texture parameters. We also propose the extension of Run Lengths (RL) and Co-occurrence Matrixes (CM) to colour images. In this respect, two different ways were explored (data merging and quantification). We finally present a comparative study showing the efficiency of the first method (LLT) as well as the complementary nature of the other methods (RL, CM). |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.patcog.2004.02.010 | Pattern Recognition |
Keywords | Field | DocType |
Colour texture,Karhunen–Loeve Transform,Local linear transform,Co-occurrence matrix,Run lengths | Computer vision,Pattern recognition,Karhunen–Loève theorem,Co-occurrence matrix,Matrix (mathematics),Artificial intelligence,Merge (version control),Mathematics | Journal |
Volume | Issue | ISSN |
37 | 8 | 0031-3203 |
Citations | PageRank | References |
5 | 0.58 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| I. Foucherot | 1 | 5 | 0.58 |
| P. Gouton | 2 | 20 | 3.00 |
| J.C. Devaux | 3 | 5 | 0.58 |
| Frédéric Truchetet | 4 | 121 | 18.97 |